Testing the validity of the AUDIT-C and AUDIT-3 to detect unhealthy alcohol use among high-risk populations in Zambia: A secondary analysis from two randomized trials

2021 ◽  
pp. 109156
Author(s):  
Sachi Inoue ◽  
Chipo Chitambi ◽  
Michael J. Vinikoor ◽  
Tukiya Kanguya ◽  
Laura K. Murray ◽  
...  
Keyword(s):  
High Risk ◽  
Alcohol Use ◽  
Randomized Trials ◽  
Secondary Analysis ◽  
Unhealthy Alcohol Use ◽  
Unhealthy Alcohol ◽  
High Risk Populations

Unhealthy alcohol use independently associated with unfavorable TB treatment outcomes among Indian men

2021 ◽  
Vol 25 (3) ◽  
pp. 182-190
Author(s):  
S. R. Cox ◽  
A. N. Gupte ◽  
B. Thomas ◽  
S. Gaikwad ◽  
V. Mave ◽  
...  
Keyword(s):  
Alcohol Use ◽  
Treatment Outcomes ◽  
Unfavorable Outcome ◽  
Unhealthy Alcohol Use ◽  
Unhealthy Alcohol ◽  
Tb Treatment ◽  
Alcohol Interventions ◽  
Increased Risk ◽  
Adjusted Incidence Rate ◽  
Indian Men

BACKGROUND: Approximately 10% of incident TB cases worldwide are attributable to alcohol. However, evidence associating alcohol with unfavorable TB treatment outcomes is weak.METHODS: We prospectively evaluated men (≥18 years) with pulmonary TB in India for up to 24 months to investigate the association between alcohol use and treatment outcomes. Unhealthy alcohol use was defined as a score of ≥4 on the Alcohol Use Disorders Identification Test-Concise (AUDIT-C) scale at entry. Unfavorable TB treatment outcomes included failure, recurrence, and all-cause mortality, analyzed as composite and independent endpoints.RESULTS: Among 751 men, we identified unhealthy alcohol use in 302 (40%). Median age was 39 years (IQR 28–50); 415 (55%) were underweight (defined as a body mass index [BMI] <18.5 kg/m2); and 198 (26%) experienced an unfavorable outcome. Unhealthy alcohol use was an independent risk factor for the composite unfavorable outcome (adjusted incidence rate ratio [aIRR] 1.47, 95% CI 1.05–2.06; P = 0.03) and death (aIRR 1.90, 95% CI 1.08–3.34; P = 0.03), specifically. We found significant interaction between AUDIT-C and BMI; underweight men with unhealthy alcohol use had increased risk of unfavorable outcomes (aIRR 2.22, 95% CI 1.44–3.44; P < 0.001) compared to men with BMI ≥18.5 kg/m2 and AUDIT-C <4.CONCLUSION: Unhealthy alcohol use was independently associated with unfavorable TB treatment outcomes, highlighting the need for integrating effective alcohol interventions into TB care.

scholarly journals Does readiness to change predict subsequent alcohol consumption in medical inpatients with unhealthy alcohol use?

2009 ◽  
Vol 34 (8) ◽  
pp. 636-640 ◽  
Author(s):  
Nicolas Bertholet ◽  
Debbie M. Cheng ◽  
Tibor P. Palfai ◽  
Jeffrey H. Samet ◽  
Richard Saitz
Keyword(s):  
Alcohol Consumption ◽  
Alcohol Use ◽  
Readiness To Change ◽  
Unhealthy Alcohol Use ◽  
Unhealthy Alcohol ◽  
Medical Inpatients

scholarly journals Mobile Health Interventions for Self-Control of Unhealthy Alcohol Use: Systematic Review (Preprint)

2018 ◽  
Author(s):  
Ting Song ◽  
Siyu Qian ◽  
Ping Yu
Keyword(s):  
Alcohol Use ◽  
Health Outcomes ◽  
Mobile Health ◽  
Full Text ◽  
Self Control ◽  
Statistical Testing ◽  
Unhealthy Alcohol Use ◽  
Unhealthy Alcohol ◽  
The Core ◽  
Core Components

BACKGROUND Unhealthy alcohol use (UAU) is one of the major causes of preventable morbidity, mortality, and associated behavioral risks worldwide. Although mobile health (mHealth) interventions can provide consumers with an effective means for self-control of UAU in a timely, ubiquitous, and cost-effective manner, to date, there is a lack of understanding about different health outcomes brought by such interventions. The core components of these interventions are also unclear. OBJECTIVE This study aimed to systematically review and synthesize the research evidence about the efficacy of mHealth interventions on various health outcomes for consumer self-control of UAU and to identify the core components to achieve these outcomes. METHODS We systematically searched 7 electronic interdisciplinary databases: Scopus, PubMed, PubMed Central, CINAHL Plus with full text, MEDLINE with full text, PsycINFO, and PsycARTICLES. Search terms and Medical Subject Headings “mHealth,” “text message,” “SMS,” “App,” “IVR,” “self-control,” “self-regulation,” “alcohol*,” and “intervention” were used individually or in combination to identify peer-reviewed publications in English from 2008 to 2017. We screened titles and abstracts and assessed full-text papers as per inclusion and exclusion criteria. Data were extracted from the included papers according to the Consolidated Standards of Reporting Trials-EHEALTH checklist (V 1.6.1) by 2 authors independently. Data quality was assessed by the Mixed Methods Appraisal Tool. Data synthesis and analyses were conducted following the procedures for qualitative content analysis. Statistical testing was also conducted to test differences among groups of studies. RESULTS In total, 19 studies were included in the review. Of these 19 studies, 12 (63%) mHealth interventions brought significant positive outcomes in improving participants’ health as measured by behavioral (n=11), physiological (n=1), and cognitive indicators (n=1). No significant health outcome was reported in 6 studies (6/19, 32%). Surprisingly, a significant negative outcome was reported for the male participants in the intervention arm in 1 study (1/19, 5%), but no change was found for the female participants. In total, 5 core components reported in the mHealth interventions for consumer self-control of UAU were context, theoretical base, delivery mode, content, and implementation procedure. However, sound evidence is yet to be generated about the role of each component for mHealth success. The health outcomes were similar regardless of types of UAU, deployment setting, with or without nonmobile cointervention, and with or without theory. CONCLUSIONS Most studies reported mHealth interventions for self-control of UAU appeared to be improving behavior, especially the ones delivered by short message service and interactive voice response systems. Further studies are needed to gather sound evidence about the effects of mHealth interventions on improving physiological and cognitive outcomes as well as the optimal design of these interventions, their implementation, and effects in supporting self-control of UAU.

Identifying women veterans with unhealthy alcohol use using gender-tailored screening

2018 ◽  
Vol 27 (2) ◽  
pp. 97-100
Author(s):  
Katherine J. Hoggatt ◽  
Tracy Simpson ◽  
Catherine A. Schweizer ◽  
Karen Drexler ◽  
Elizabeth M. Yano
Keyword(s):  
Alcohol Use ◽  
Women Veterans ◽  
Unhealthy Alcohol Use ◽  
Unhealthy Alcohol
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